/// <summary>
/// Add a new set of data.
/// </summary>
/// <param name="mcm"></param>
/// <param name="timeTaken"></param>
public void AddData(MulticlassClassificationMetrics mcm, double timeTaken)
{
MacroAccuracy.AddValue(mcm.MacroAccuracy);
MicroAccuracy.AddValue(mcm.MicroAccuracy);
LogLoss.AddValue(mcm.LogLoss);
LogLossReduction.AddValue(mcm.LogLossReduction);
TimeTakenMiliSeconds.AddValue(timeTaken);
StatConfusionMatrix.AddConfusionMatrix(mcm.ConfusionMatrix);
}
/// <summary>
/// Add a set of evaluation metrics to the set of observations.
/// </summary>
/// <param name="metrics">The observed binary classification evaluation metric</param>
void IMetricsStatistics <MultiClassClassifierMetrics> .Add(MultiClassClassifierMetrics metrics)
{
MacroAccuracy.Add(metrics.MacroAccuracy);
MicroAccuracy.Add(metrics.MicroAccuracy);
LogLoss.Add(metrics.LogLoss);
LogLossReduction.Add(metrics.LogLossReduction);
TopKAccuracy.Add(metrics.TopKAccuracy);
if (PerClassLogLoss == null)
{
PerClassLogLoss = MetricsStatisticsUtils.InitializeArray(metrics.PerClassLogLoss.Count);
}
MetricsStatisticsUtils.AddToEach(metrics.PerClassLogLoss, PerClassLogLoss);
}
